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Interactive Dimensionality Reduction Using User-defined Quality Metrics

This presentation by Sara Johansson and Jimmy Johansson from Linköping University explores an innovative approach to dimensionality reduction that leverages user-defined combinations of quality metrics. By allowing users to specify metrics of interest, the method enhances the interpretability and relevance of the reduced data dimensions. The talk will discuss the underlying framework, potential applications, and demonstrate how this approach can facilitate more effective multidimensional data visualization. Join us for insights into transforming complex datasets into actionable visual insights.

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Interactive Dimensionality Reduction Using User-defined Quality Metrics

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  1. Interactive Dimensionality Reduction Through User-defined Combinations of Quality Metrics Sara Johansson and Jimmy Johansson NVIS, Linköping University, Sweden

  2. Presented in the Multidimensional Data Visualization session, Thursday 10:30 AM

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